[SO]Julia vs MATLAB: Why is my Julia code so slow?

test.jl

using Dierckx
function foo()
  x = [0., 1., 2., 3., 4.]
  y = [-1., 0., 7., 26., 63.]
  spl = Spline1D(x, y)
  a = evaluate(spl, ones(10000))
  reshape(a,100,100)
end

function bar()
  for i=1:1000
    foo()
  end
end

@time bar()

Matlab code

tic
for i = 1:1000
    x = [0., 1., 2., 3., 4.];
    y = [-1., 0., 7., 26., 63.];
    spl = interp1(x,y,ones(100,100));
end
toc

Elapsed time is 0.345880 seconds.

julia> @time bar()
  0.492527 seconds (18.00 k allocations: 155.274 MB, 2.68% gc time)
julia> versioninfo()
Julia Version 0.4.2
Commit bb73f34 (2015-12-06 21:47 UTC)
Platform Info:
  System: Darwin (x86_64-apple-darwin13.4.0)
  CPU: Intel(R) Core(TM) i5-3210M CPU @ 2.50GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.3